/COVID-19-Case-Prediction-Matlab-App

Explore the 'COVID-19 Case Prediction Desktop App' repo, a potent desktop application leveraging MATLAB's Deep Learning Toolbox, ResNet-50 transfer learning, and MATLAB App Designer. Predict COVID-19 cases with precision and empower data-driven decisions.

Primary LanguageMATLAB

COVID-19-Case-Prediction-Matlab-App

Welcome to the "COVID-19 Case Prediction Desktop App" repository! This project is dedicated to the development of a powerful desktop application for predicting COVID-19 cases using advanced machine learning techniques. Leveraging the capabilities of MATLAB, including transfer learning with the ResNet-50 model, the Deep Learning Toolbox, and the MATLAB App Designer, this application empowers users with the ability to make informed decisions based on data-driven predictions.

Key Features:

Predictive Power:

Harness the potential of deep learning and transfer learning with the ResNet-50 model to make accurate COVID-19 case predictions.

User-Friendly Interface:

Enjoy a seamless user experience through the MATLAB App Designer, which provides an intuitive and visually appealing desktop application.

Real-Time Data:

Access up-to-date COVID-19 data to ensure that predictions are based on the latest information.

Interactive Visualization:

Explore data trends and predictions through interactive charts and visualizations.

Development Stack:

1-Programming Language: MATLAB

2-Machine Learning: Transfer learning with ResNet-50

3-Toolbox: Deep Learning Toolbox

4-User Interface: MATLAB App Designer

Screenshots:

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Screenshot 6

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Docs:

Nedjai_Azzedine-Master_Thesis.pdf

Thank you for your interest in the project.